Christopher Schröder's repositories
ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
argilla
✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
dco-check
Simple DCO check script to be used in any CI
docker-python
Kaggle Python docker image
github-issue-templates
:symbols: A collection of GitHub issue and pull request templates
liblinear-java
Java version of LIBLINEAR
llm.c
LLM training in simple, raw C/CUDA
Megatron-LM
Ongoing research training transformer models at scale
mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
ml-engineering
Machine Learning Engineering Guides and Tools
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
setfit
Efficient few-shot learning with Sentence Transformers
small-text
Active Learning for Text Classification in Python
small-text-feedstock
A conda-smithy repository for small-text.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
SuperGLEBer
German Language Understanding Evaluation Benchmark @NAACL24
text-classification-docker
An opinionated composition of python tools for text classification.
welford
python (numpy) implementation of welford algorithm